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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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Provides centralized support for document upload and data entry in operational and document management systems (e.g., CTMS, clinical trial and budget tracking, electronic Trial Master File (eTMF), electronic document management system (EDMS) etc.
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A PhD or master’s degree in computer science, computational statistics, mathematics, physics, engineering, optimization or related applied mathematics and technical disciplines as they pertain to data science/machine learning (ML.
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Willingness to work on diverse projects: literature reviews, reviews of site-specific contaminant transport and remediation, development of fact sheets, development of charts and other visual displays of data report writing.
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We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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5+ years’ experience in data analytics on (Microsoft SQL Server, Redshift, HQL) Partner with Development Leads for refining and enhancing our Data architecture, Pipeline development, Automation, and planning.
$90,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We are searching for an experienced and dynamic individual contributor to join our client's Quant Team as the VP Data Engineer. As the VP Data engineer on our team, your responsibilities will include but not limited to.
$175,000 - $200,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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Strong command of SQL and/or PythonSolid understanding of Data Governance principles, practices, and key tools - Data Catalog, Data Lineage, and Data Quality frameworksPrior experience with Data governance tools such as Atlan, Collibra, Alation, Manta, etc.
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The Data and Presentation Specialist role provides substantial exposure to how GMO communicates with clients and prospects about our investment strategies. The Presentation and Data Specialist is responsible for the coordination and production of product and fund materials; and, providing input and requirements on new systems or technology enhancements related to these materials.
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Experience with tools that make up modern data stack, such as: Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc. Scale Global Partner's ability to democratize data by leveraging a Modern Data Stack (Snowflake, dbt, Fivetran, DataBricks, Census, Dagster, etc.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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This position is for an Data Science entry level role in the Verizon Global Network & Technology organization. Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Driving Results : Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
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data entry jobs Title: order entry specialist in Boston, MA
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